Volcano Plot Interactive Dashboard
🔬 Volcano Plot Interactive Dashboard
Generate beautiful volcano plots from your differential expression data — no coding required.
This interactive dashboard, built with Python and Dash, lets you upload your own results, adjust significance thresholds, and download high-quality plots for presentations or publications.
✅ What you can do with this tool:
- Upload a CSV file and instantly visualize a volcano plot
- Set your own log2(Fold Change) and adjusted p-value (-log10) cutoffs
- Interact with the plot: zoom, hover, and explore your data
- Download a high-quality PNG image
- Toggle threshold lines on/off for better visual clarity
- Test with included example dataset
- Comes with a clear README and installation instructions
You don't need to know Dash, Plotly, or even matplotlib.
Just load your data, adjust a few values, and you're done.
Built for bioinformaticians working with RNA-seq, microarrays, or any transcriptomics workflow.
💡 Requirements: Python 3.8+, basic command line usage, and a modern web browser.
👉 Start creating better volcano plots — faster and easier than ever.
👀 Take a look inside
Here's a quick preview of the dashboard in action. Upload your CSV, adjust thresholds, explore your data interactively, and download a clean, publication-ready volcano plot — all in seconds.
You’ll get a ready-to-use Python dashboard (app.py) that allows you to upload your differential expression results and generate an interactive volcano plot. The package also includes a complete user guide (README.pdf) with installation and usage instructions, plus a sample CSV file (example_data.csv) with real gene names to help you get started right away.